{"instruction": "You are an expert in event extraction. Please extract events from the input that conform to the schema definition. Return an empty list for events that do not exist, and return NAN for arguments that do not exist. If an argument has multiple values, please return a list. Respond in the format of a JSON string.", "schema": [{"event_type": "ransom", "trigger": true, "arguments": ["attack pattern", "place", "attacker", "damage amount", "tool", "time"]}, {"event_type": "patch vulnerability", "trigger": true, "arguments": ["patch number", "patch", "vulnerability", "common vulnerabilities and exposures", "releaser", "vulnerable system", "supported platform", "time", "issues addressed"]}, {"event_type": "phishing", "trigger": true, "arguments": ["attack pattern", "tool", "damage amount", "purpose", "place", "trusted entity", "victim", "time", "attacker"]}, {"event_type": "data breach", "trigger": true, "arguments": ["number of victim", "attack pattern", "compromised data", "attacker", "damage amount", "victim", "number of data", "place"]}, {"event_type": "discover vulnerability", "trigger": true, "arguments": ["capabilities", "vulnerability", "time", "vulnerable system", "supported platform", "vulnerable system owner"]}], "input": "The email lures you in by saying you are owed a refund on your TV Licence payments ."}
{"ransom": [], "patch vulnerability": [], "phishing": [{"trigger": "lures", "arguments": {"attack pattern": "saying you are owed a refund", "tool": "The email", "damage amount": "NAN", "purpose": "NAN", "place": "NAN", "trusted entity": "TV Licence", "victim": "you", "time": "NAN", "attacker": "NAN"}}], "data breach": [], "discover vulnerability": []}